Danielle Tan

981 citations
46 papers · 757 · h-index 14

Impact in

Papers in

Danielle Tan

45 papers receiving 738 citations

Peers

Danielle Tan
Comparison fields: 5 of 72
  • Computational Mechanics 612
  • Management, Monitoring, Policy and Law 73
  • Aerospace Engineering 126
  • Electrical and Electronic Engineering 277
  • Fluid Flow and Transfer Processes 22
Replace Zhenlong Fang with:
Zhenlong Fang China
Benjamin K. Cook United States
Tobias Kempe Germany
Jean-Luc Reboud France
Xiaosong Sun Japan
Cong Li China
Stephen Solovitz United States
Danielle Tan relative to Zhenlong Fang China Zhenlong Fang's profile →
Citations per field
00.5×6.3×
Zhenlong Fang · 1×
Citations per year

Countries citing papers authored by Danielle Tan

Since Specialization
Citations

This map shows the geographic impact of Danielle Tan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Danielle Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Tan more than expected).

Fields of papers citing papers by Danielle Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Tan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Danielle Tan. The network helps show where Danielle Tan may publish in the future.

Co-authors

The 25 scholars most cited alongside Danielle Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danielle Tan Line = papers co-authored together Danielle Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201486
2 201674
3 201863
4 201846
5 201646
6 201745
7 201841
8 201832
9 201929
10 201229
11 201729
12 202026
13 201823
14 201720
15 201312
16 202212
17 201411
18 201411
19 201411
20 202110

About Danielle Tan

Danielle Tan is a scholar working on Computational Mechanics, Aerospace Engineering, Civil and Structural Engineering, Electrical and Electronic Engineering and Political Science and International Relations, having authored 46 papers that have together received 757 indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (13 papers), Granular flow and fluidized beds (10 papers), Aerodynamics and Fluid Dynamics Research (9 papers), Aerosol Filtration and Electrostatic Precipitation (8 papers), Fluid Dynamics and Vibration Analysis (8 papers), Southeast Asian Sociopolitical Studies (5 papers), Soil and Unsaturated Flow (4 papers) and Particle Dynamics in Fluid Flows (4 papers). The work is most often cited by research in Computational Mechanics (612 citations), Management, Monitoring, Policy and Law (73 citations), Aerospace Engineering (126 citations), Electrical and Electronic Engineering (277 citations) and Fluid Flow and Transfer Processes (22 citations). Danielle Tan has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Zhen Chen, C. Shu, K. M. Hill, N. Phan‐Thien, Yan Wang, Liuming Yang, Soon Keat Tan, Xiaodong Niu, Q. Li and Boo Cheong Khoo. Their work appears in journals such as Physics of Fluids, The European Physical Journal E, Journal of Environmental Engineering, Computers and Electronics in Agriculture and International Journal of Heat and Mass Transfer.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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